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| 1 | Risk Assessment of Secondary Geological Disasters Induced by the Yushu Earthquake显示文摘The Yushu Ms 7.1 earthquake occurred on April 14,2010 in Qinghai Province,China.It induced a mass of secondary geological disasters,such as collapses,landslides,and debris flows.Risk assessment maps are important for geological disaster prevention and mitigation,and also can serve as a guide for post-earthquake reconstruction.Firstly,a hazard assessment index system of secondary geological disasters in the earthquake region was built in this paper,which was based on detailed analysis of environmental and triggering factors closely related to geological disasters in the study area.GIS technology was utilized to extract and analyze the assessment index.Hazard assessment maps of secondary geological disasters were obtained by spatial modeling and overlaying analysis.Secondly,an analysis of the vulnerability of hazard bearing bodies in the area was conducted,important information,such as, population density,percentage of arable land, industrial and agricultural outputs per unit area were regarded as assessment indices to evaluate socioeconomic vulnerability.Thirdly,the risk level of secondary geological disasters of the area was obtained by the formula:Risk=Hazard×Vulnerability. Risk assessment maps were categorized into four levels,including'low','moderate','high'and'very high'.These results show that some urban areas are at very high risk,including Jiegu,Chengwen,Xiaxiula and Sahuteng towns.This research can provide some references and suggestions to improve decisionmaking support for emergency relief and post- earthquake reconstruction in the study area. | NIU Quanfu CHENG Weiming LIU Yong XIE Yaowen LAN Hengxing CAO Yanrong | 2012 | Journal of Mountain Science2012，9，2： | 5 |
| 2 | Spatial-temporal variability of snow cover over the Amur River Basin inferred from MODIS daily snow products in recent decades显示文摘MODIS snow products MOD10A1\MYD10A1 provided us a unique chance to investigate snow cover as well as its spatial-temporal variability in response to global changes from regional and global perspectives.By means of MODIS snow products MOD10A1\MYD10A1 derived from an extensive area of the Amur River Basin,mainly located in the Northeast part of China,some part in far east area of the former USSR and a minor part in Republic of Mongolia,the reproduced snow datasets after removal of cloud effects covering the whole watershed of the Amur River Basin were generated by using 6 different cloud-effect-removing algorithms.The accuracy of the reproduced snow products was evaluated with the time series of snow depth data observed from 2002 to 2010 within the Chinese part of the basin,and the results suggested that the accuracies for the reproduced monthly mean snow depth datasets derived from 6 different cloud-effect-removing algorithms varied from 82%to 96%,the snow classification accuracies(the harmonic mean of Recall and Precision)was higher than 80%,close to the accuracy of the original snow product under clear sky conditions when snow cover was stably accumulated.By using the reproduced snow product dataset with the best validated cloud-effect-removing algorithm newly proposed,spatial-temporal variability of snow coverage fraction(SCF),the date when snow cover started to accumulate(SCS)as well as the date when being melted off(SCM)in the Amur River Basin from 2002 to 2016 were investigated.The results indicated that the SCF characterized the significant spatial heterogeneity tended to be higher towards East and North but lower toward West and South over the Amur River Basin.The inter-annual variations of SCF showed an insignificant increase in general with slight fluctuations in majority part of the basin.Both SCS and SCM tended to be slightly linear varied and the inter-annual differences were obvious.In addition,a clear decreasing trend in snow cover is observed in the region.Trend analysis(at 10%significance level)showed that 71%of areas between 2,000 and 2,380 m a.s.l.experienced a reduction in duration and coverage of annual snow cover.Moreover,a severe snow cover reduction during recent years with sharp fluctuations was investigated.Overall spatial-temporal variability of Both SCS and SCM tended to coincide with that of SCF over the basin in general. | XiaoLin Lu WanChang Zhang ShuHang Wang Bo Zhang QuanFu Niu JinPing Liu Hao Chen HuiRan Gao | 2020 | Research in Cold and Arid Regions2020，12，6： | 1 |
| 3 | Management of infection control and radiological protection in diagnostic radiology examination of COVID-19 cases显示文摘Since the COVID-19 outbreak,diagnostic imaging has been providing valuable radiological support for disease diagnosis and prognosis prediction.Radiological staff,especially radiographers working on the front line in the battle against the COVID-19 outbreak.They are in direct contact with the patients,bearing the responsibility and pressure of both the infection prevention and control and the radiation protection.A number of relevant professionals and experts reached a consensus,which clarifies the detailed implementing rules with respective to infection control and protection of the radiation workers,disinfection of diagnostic radiology equipment and workplace,and radiological protection.The aim is to further normalize the clinical procedures of radiological staff,reduce the infection risk,especially the radiation risk to medics and patients. | Yantao Niu Junfang Xian Ziqiao Lei Xiao Liu Quanfu Sun | 2020 | Radiation Medicine and Protection2020，1，2： | 0 |
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